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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 24559
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    INDEX
    Explanations

    differences in opinions or uncertainties

    oai_token-act-pair · gpt-3.5-turbo

    assessments of threat levels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idity
    -0.78
     impunity
    -0.75
    OTO
    -0.67
    pez
    -0.64
    Ĥİ
    -0.64
     Pax
    -0.63
    Vert
    -0.58
    Ń·
    -0.58
     Forget
    -0.56
    married
    -0.55
    POSITIVE LOGITS
     mattered
    1.07
     matters
    1.03
     important
    0.98
     relevant
    0.95
     worth
    0.92
     noticeable
    0.88
    important
    0.85
     bother
    0.85
     matter
    0.84
     noteworthy
    0.84
    Activations Density 0.382%

    No Known Activations